IN THE INDUSTRY
Shell Invests In Ethereum Hybrid That Gives Real Power to the People
Shell is continuing its exploration of blockchain with yet another investment in the technology, this time investing in LO3, a startup using a modified version of the Ethereum blockchain to make it easier for individuals to buy and sell locally produced energy.
Digital Transformation Strategy Advances in Oil and Gas
Firms such as Netflix have had a solid digital transformation strategy. Now, industrial companies, including in the oil and gas sector, are on a similar, if less dramatic, trajectory.
Total Hopes New Supercomputer Will Help It Find Oil Faster and More Cheaply
Energy major Total said its new supercomputer—which has propelled it to a world ranking as the most powerful computer in the sector—will enable its geologists to find oil faster, cheaper, and with a better success rate.
Hamiltonian Neural Networks Show Benefits Over Regular Neural Networks
Hamiltonian neural networks draw inspiration from Hamiltonian mechanics, a branch of physics concerned with conservation laws and invariances. By construction, these models learn conservation laws from data, revealing major advantages over regular neural networks on a variety of physics problems.
Random Forests Vs. Neural Networks: Which Is Better and When?
Random Forest and Neural Network are the two widely used machine-learning algorithms. What is the difference between the two approaches? When should one use Neural Network or Random Forest?
Katy, Texas, Is Now Home to One of the World’s Fastest Supercomputers
The 21st century oil and gas industry thrives on hardcore computing power, crunching data derived from seismic testing to find oil deep in the ground and below the sea. Now, an Australian company will fire up a digital behemoth in a data center near the Houston suburb.
Big Data vs. Diverse Data: Confidential Databases Lack Performance Benchmarks
A study by a real-time monitoring company showed that many coiled-tubing strings are retired with a lot of life left in them. It suggested companies could lower costs by using pipe for a longer time, and could benefit by multi-company studies showing how their decisions compare to the competition.
Data Mining Effective for Casing-Failure Prediction and Prevention
This paper is part of an ongoing effort to minimize the likelihood of failure using data-mining and machine-learning algorithms.
Computational Model Predicts Breakdown Pressures in Unconventional Plays
This paper presents a newly developed model to predict the breakdown pressures in cased and perforated wells.
Training a Single Artificial-Intelligence Model Can Emit as Much Carbon as Five Cars in Their Lifetimes
Researchers at the University of Massachusetts, Amherst, performed a life-cycle assessment for training several common large AI models. They found that the process can emit more than 626,000 lbm of carbon dioxide equivalent—nearly five times the lifetime emissions of the average American car.
Strengthening the Energy Sector’s Cyber Preparedness
The reality is that threats continue to outrun the sector’s security evolution, primarily because organizations are increasingly connecting operational technology, such as supervisory control and data acquisition systems and industrial control systems, to their information technology networks.
AI-Generating Algorithms: An Alternate Paradigm for Producing General Artificial Intelligence
This paper describes a path to general artificial intelligence (AI) (i.e., AI that is as smart or smarter than humans) based on the trend in machine learning that hand-designed solutions eventually are replaced by more-effective, learned solutions.
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26 June 2019
28 June 2019